Development of a wearable fall detection system for the elderly by using ESP32

Mohd Asnizam, Ahmad Affiq (2025) Development of a wearable fall detection system for the elderly by using ESP32. Project Report. Universiti Teknikal Malaysia Melaka, Melaka, Malaysia. (Submitted)

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Abstract

Falls are a significant health problem, especially among the elderly, and are often the cause of serious injuries and reduced independence. This project entitled “Development of Fall Detection System for the Elderly using ESP32” involved the development of a wearable fall detection system accounting for advanced sensor technologies for fall detection that are reliable and accurate. The falling hazards to older individuals are very likely to occurs. Most falls lead to severe injuries and decrease the quality of life. This project presents MPU6050 sensors for motion detection, integrating an accelerometer and a gyroscope to monitor the movements. The data is processed in real-time using the ESP32. At the same time, another esp32 with a global positioning system (GPS) establishes its use for wireless communication and sending the location of the incident. This helps to notify the caregivers or emergency services in a short time and in the right location. In this project, elderly safety and welfare will be improved through immediate response to falls using the wearable device. This system aims to overcome the limitations of current methods of fall detection which include improvised surveillance, society and individual safety.

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